create_group · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What create_group does on Amazon SageMaker AI MCP Server

AI agents use create_group to create or update resources in Amazon SageMaker AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon SageMaker AI MCP Server environment.

WHY IT NEEDS A POLICY

Why create_group needs a policy

Creating a group is a reversible write operation—groups can be deleted or modified later. It does not execute arbitrary code, delete data irreversibly, or commit financial transactions. The medium severity reflects that group creation could affect access control and resource organization, but the blast radius is contained to the new group itself unless group membership policies have broad implications.

From the tool's definition Tool name is 'create_group' which indicates creation of a new resource group. The empty description limits certainty, but the action verb 'create' clearly indicates a Write operation that modifies state by adding a new group to the system.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_group Rate-limited

create_group stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_group": {
      "limits": [
        {
          "counter": "create_group_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Amazon SageMaker AI MCP Server, so you can run agents against it safely.

FAQ

Questions about create_group

What does the create_group tool do? +

create_group. It is categorised as a Write tool in the Amazon SageMaker AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_group? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for create_group: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Amazon SageMaker AI MCP Server. Nothing to install.

What risk level is create_group? +

create_group is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_group? +

Yes. Add a rate_limit block to the create_group rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block create_group completely? +

Set action: deny in the PolicyLayer policy for create_group. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides create_group? +

create_group is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.